z-logo
open-access-imgOpen Access
Knowledge bases and software support for variant interpretation in precision oncology
Author(s) -
Florian Borchert,
Andreas Möck,
Aurelie Tomczak,
Jonas Hügel,
Samer Alkarkoukly,
Alexander Knurr,
AnnaLena Volckmar,
Albrecht Stenzinger,
Peter Schirmacher,
Jürgen Debus,
Dirk Jäger,
Thomas Longerich,
Stefan Fröhling,
Roland Eils,
Nina Bougatf,
Ulrich Sax,
Matthieu-P. Schapranow
Publication year - 2021
Publication title -
briefings in bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.204
H-Index - 113
eISSN - 1477-4054
pISSN - 1467-5463
DOI - 10.1093/bib/bbab134
Subject(s) - computer science , context (archaeology) , process (computing) , categorization , annotation , data science , interpretation (philosophy) , set (abstract data type) , software , knowledge management , artificial intelligence , programming language , operating system , paleontology , biology
Precision oncology is a rapidly evolving interdisciplinary medical specialty. Comprehensive cancer panels are becoming increasingly available at pathology departments worldwide, creating the urgent need for scalable cancer variant annotation and molecularly informed treatment recommendations. A wealth of mainly academia-driven knowledge bases calls for software tools supporting the multi-step diagnostic process. We derive a comprehensive list of knowledge bases relevant for variant interpretation by a review of existing literature followed by a survey among medical experts from university hospitals in Germany. In addition, we review cancer variant interpretation tools, which integrate multiple knowledge bases. We categorize the knowledge bases along the diagnostic process in precision oncology and analyze programmatic access options as well as the integration of knowledge bases into software tools. The most commonly used knowledge bases provide good programmatic access options and have been integrated into a range of software tools. For the wider set of knowledge bases, access options vary across different parts of the diagnostic process. Programmatic access is limited for information regarding clinical classifications of variants and for therapy recommendations. The main issue for databases used for biological classification of pathogenic variants and pathway context information is the lack of standardized interfaces. There is no single cancer variant interpretation tool that integrates all identified knowledge bases. Specialized tools are available and need to be further developed for different steps in the diagnostic process.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom